Excel – functions that save the most time (practical guide)

Why do these functions save the most time?

Excel itself is fast, but the right functions make the biggest difference. In practice, time most often “escapes” on three things: manual searching for information, correcting data (e.g., mess in texts and dates), and repetitive calculations. This guide focuses on solutions that have the best ratio of “minutes of learning” to “hours recovered” in companies and analytical projects. Tip: function names depend on the language and version of the program. Where relevant, I provide common equivalents (PL/EN) and explain the logic.

1) Fast data lookup: no more manual digging through tables

X.WYSZUKAJ (XLOOKUP) – modern pinpoint lookup

If VLOOKUP still dominates in your worksheets, XLOOKUP usually is a step forward: it is clearer, allows searching to the left, and doesn’t require counting column numbers.

Typical uses

- fetching price, status, description based on ID, - matching customer to account manager, - returning message when no match found (without #N/A).

Example (logic)

You look for a value from the “Price” column for a given “ID” and want to see “Not found” if the ID doesn’t exist. XLOOKUP allows you to express this directly, without additional workarounds.

INDEX + MATCH – a classic for compatibility

When working on older files or in environments where new features aren’t available, the INDEX and MATCH duo is still a great, flexible standard. It usually beats VLOOKUP because it is more resistant to table layout changes.

When is it worth it?

- when columns are often rearranged, - when you search by multiple criteria (in more advanced layouts), - when you need stability in long-lived reports.

2) Conditional calculations: calculate once and correctly

SUMIFS – sum by multiple criteria

This is one of the busiest functions in reports. Instead of manually filtering and summing, you build rules: sum range + conditions. In practice: month, department, project, status – and you get the result in a second.

Usage ideas

- sum of sales for selected salesperson and period, - costs only for a specific category and branch, - budget vs. actual with multiple filters.

LICZ.WARUNKI (COUNTIFS) – counting records that meet conditions

When you need not a sum but a count of events (e.g., how many tickets are “in progress” or how many invoices exceeded the deadline), COUNTIFS is the fastest way. It integrates well with KPI dashboards.

AVERAGEIFS – average in real reports

An average without filters can be misleading. AVERAGEIFS allows sensible calculations: e.g., average resolution time for a specific case type, only in a given quarter.

3) Logic in formulas: less “if-ology,” more clarity

IF – but used wisely

IF is great until it turns into a dozen nested layers. If you feel the formula is becoming “like spaghetti,” it’s time for the tools below.

IFS and SWITCH – order in rules

IFS lets you write several scenarios in one simple chain. SWITCH is ideal when comparing one value to many possible cases (e.g., statuses, types, codes).

Effect in practice

- shorter formulas, - fewer errors when adding new exceptions, - easier file hand-off within the team.

4) Text under control: data cleaning without manual correction

TRIM and CLEAN

Surprisingly many problems in reports come from “invisible” characters: double spaces, trailing spaces, non-printable characters. TRIM and CLEAN can save matches, lookups, and data merging.

TEXTJOIN – concatenating descriptions and lists

Instead of manually concatenating data or playing with “&” on 20 columns, use a function to join text with a separator, skipping empty cells and full format control.

Examples of use

- building addresses from parts (street, zip code, city), - preparing descriptions for external systems, - creating lists of values separated by commas.

SUBSTITUTE and REPLACE – quick fixes at scale

When you need to change notation (e.g., dots to commas in codes, prefixes in numbers, “non-breaking spaces”), SUBSTITUTE provides a reliable, repeatable fix across the dataset.

5) Dates and schedules: reports that “shift themselves”

TODAY and NOW

These are simple functions but do a huge job in cyclical reports: dates update automatically, and KPIs always count “as of today.”

EOMONTH – month end without counting

Ideal for billing periods, forecasts, and monthly reporting. Instead of manually entering the last day, you calculate it directly.

NETWORKDAYS / WORKDAY

If you count deadlines in real business, weekends and holidays matter. Workday functions let you plan according to the work calendar, not just “pure math” of days.

Practical tip

Keep the holiday list in a separate range and use it in calculations – this way your deadlines remain consistent throughout the file.

6) Dynamic arrays: less copying, more automation

FILTRUJ (FILTER) – instant views without manual filtering

FILTER can generate a list of results based on a condition and “spills” into subsequent rows automatically. It’s great for reports, dashboards, and data preparation for charts.

UNIKATOWE (UNIQUE) and SORTUJ (SORT)

UNIQUE returns a list of distinct values (e.g., list of customers, products) and SORT arranges it as you need. Once set up – they work dynamically with new incoming data.

Combinations that make a difference

- UNIQUE + COUNTIFS = quick analysis of “how many of what,” - FILTER + SORT = dynamic rankings, - FILTER + UNIQUE = automatic lists for data validation.

LET – more readable formulas and faster calculation

LET lets you name calculation parts inside a formula. This way you avoid repeating the same parts, and the worksheet calculates more efficiently (especially on large ranges). Additionally, formulas become more “readable,” not just “functional.”

LAMBDA – custom functions without VBA (for advanced users)

If you often repeat the same calculation pattern, LAMBDA lets you build your own function and use it like any other. This is a huge step towards team standardization: fewer errors, less copying of “magic formulas.”

7) Not just formulas: two tools that practically save time

Power Query – import, clean, and combine data with one click

Many try to “force” everything with formulas, but the biggest time savings come from a repeatable process: load the file, clean columns, remove duplicates, merge tables, prepare the result. Power Query does this as a procedure that you refresh when data changes.

When is Power Query unbeatable?

- cyclical reports (weekly/monthly), - data from many files with the same structure, - merging data from various sources (CSV, Excel, folders).

Pivot tables – report in a minute, not half a day

If you regularly create summaries, pivot tables are the fastest way to answer: “how many,” “for how much,” “in what period,” “in which department.” A well-set pivot table with slicers can replace several sheets of manual summaries.

Best practice

First, arrange data as a “table” (Ctrl+T), then create the pivot table. You get stable ranges and easy refresh.

Saving time in Excel rarely relies on one magical formula. The greatest effect comes from a set of habits: fast data lookup, conditional calculations, order in text and dates, and automation where possible (dynamic arrays, Power Query, pivot tables). Introduce 2–3 elements from this guide, and you’ll notice the difference in your next report. On Key-Soft.pl, if you need a Key, choose a solution cheaply, activate it, and if you work on Windows and need Office, you can buy.